Techno-Economic Assessment and Environmental Impact Analysis of Hybrid Storage System Integrated Microgrid

被引:3
|
作者
Ikram, Arafat Ibne [1 ]
Shafiullah, Md [2 ,3 ]
Islam, Md. Rashidul [1 ]
Rocky, Md. Kamruzzaman [1 ]
机构
[1] Int Islamic Univ Chittagong, Dept Elect & Elect Engn, Chattogram 4318, Bangladesh
[2] King Fahd Univ Petr & Minerals, Control & Instrumentat Engn Dept, Dhahran 31261, Saudi Arabia
[3] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Sustainable Energy Syst, Dhahran 31261, Saudi Arabia
关键词
Renewable energy sources; Particle swarm optimization; Energy storage system; Hydrogen energy storage; Economic assessment; Environmental impact analysis; ENERGY SYSTEM; POWER-SYSTEM; SWARM OPTIMIZATION; WIND ENERGY; GENERATION; DESIGN; COST; FEASIBILITY; RELIABILITY; CHALLENGES;
D O I
10.1007/s13369-024-08735-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Microgrids are designed to utilize renewable energy resources (RER) that are revolutionary choices in reducing the environmental effect while producing electricity. The RER intermittency poses technical and economic challenges for the microgrid systems that can be overcome by utilizing the full potential of hybrid energy storage systems (HESS). A microgrid comprising of a solar photovoltaic panel, wind turbine, lead-acid battery, electrolyzer, fuel cell, and hydrogen (H2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_{2}$$\end{document}) tank is considered for techno-economic feasibility and environmental impact assessment on a grid integration scenario. Mathematical functions are utilized to model the components for estimating annual hourly renewable generation and energy storage behavior. The load consumption model for 50 homes is generated using Gaussian distribution to incorporate the uncertainty. Optimal sizing of the microgrid components is determined using the particle swarm optimization (PSO) algorithm to minimize the upfront installation cost and levelized cost of energy (LCOE). Different energy storage penetration scenarios, e.g., 25%, 50%, 75%, and 100% for the microgrid system, are considered where 100% penetration level stands for maintaining the load demand using the available resources without depending on the grid energy supply. The lowest LCOE is found between 0.06 $/kWh and 0.11 $/kWh, and the highest annual GHG is reduced to half compared to the grid emission. GHG is imposed around 62.14 (tCO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document}e/yr) - 73.57 (tCO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document}e/yr) for Madrid and Seville, respectively.
引用
收藏
页码:15917 / 15934
页数:18
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